{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# API 文档介绍（Face++ API）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* API实践步骤\n",
    "> 1. 导入需要的requests模块\n",
    "> 2. 输入我们需要API网站注册的API_Key\n",
    "> 3. 目标url [base url]\n",
    "> 4. 沿用API文档的示范代码,准备我们的headers和图片(数据)\n",
    "> 5. 准备symbol ? 后面的数据,这里需要注意,一定要详细阅读API文档中的 “参数功能”,按照要求格式准备payload参数功能可能有:\n",
    ">> 1. 是否必要?必要的一定要准备好\n",
    ">> 2. 选填的一定是功能,要根据功能需求 好好填噢\n",
    "> 6. response响应。注意:\n",
    ">> 1. 详细阅读文档,注意请求方式(GET、POST、DELETE)\n",
    ">> 2. 注意json 和字典的差异 ,str vs dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'requests' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-8d71fe007a02>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     20\u001b[0m }\n\u001b[0;32m     21\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 22\u001b[1;33m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpost\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbase_url\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpayload\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'requests' is not defined"
     ]
    }
   ],
   "source": [
    "# 1. url\n",
    "base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "\n",
    "\n",
    "# 2. api账户/通行证\n",
    "API_key = 'M2haNpbhUCYA5qsATV5nHGGd'\n",
    "API_sercret = 'nFDt6R9u4B3cobmtB2RUFPGmqTMHi65Z'\n",
    "\n",
    "# 3. POST\n",
    "\n",
    "\n",
    "# 4. 所有 API Key 都可以调用本 API。\n",
    "#    其中 calculate_all 和 face_rectangle 参数只有正式 API Key 才能使用，试用 API Key 无法使用。\n",
    "\n",
    "# 5. payload： 酬载, 必要阅读api文档中的 *必选项* 和 *可选性*，及 *参数说明*\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_sercret,\n",
    "    'image_url':'https://tse1-mm.cn.bing.net/th/id/OIP-C.HPWFQ7UDQh93EKcDmiUQ_wHaIR?w=176&h=197&c=7&r=0&o=5&dpr=2&pid=1.7'    \n",
    "}\n",
    "\n",
    "r = requests.post(base_url, params = payload)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "1647048332,5743d50c-dc1b-4178-890d-7f0f7d7bc4f4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1647048332,5743d50c-dc1b-4178-890d-7f0f7d7bc4f4',\n",
       " 'time_used': 543,\n",
       " 'faces': [{'face_token': 'b1bf9d1b73776d1331c29f7b51523672',\n",
       "   'face_rectangle': {'top': 108, 'left': 141, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'JoYdaZ0h1hGb4ih1d2EZVw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "face_detect = r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "face_tokens = face_detect['faces'][0]['face_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b1bf9d1b73776d1331c29f7b51523672'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_tokens"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 人脸分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. url \n",
    "Analyze_base_url = \"https://api-cn.faceplusplus.com/facepp/v3/face/analyze\"\n",
    "\n",
    "# 2. api账户/通行证\n",
    "API_key = 'M2haNpbhUCYA5qsATV5nHGGd'\n",
    "API_sercret = 'nFDt6R9u4B3cobmtB2RUFPGmqTMHi65Z'\n",
    "\n",
    "# 3 POST\n",
    "\n",
    "# 4. 权限：所有 API Key 都可以调用本 API\n",
    "\n",
    "# 5. payload： 酬载, 必要阅读api文档中的 *必选项* 和 *可选性*，及 *参数说明*\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_sercret,\n",
    "    'face_tokens':face_tokens,\n",
    "    'return_attributes':'gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,beauty,mouthstatus,eyegaze,skinstatus',\n",
    "    'beauty_score_min':0,\n",
    "    'beauty_score_max':100\n",
    "    \n",
    "}\n",
    "\n",
    "# 6. requests\n",
    "\n",
    "r_analyze = requests.post(url = Analyze_base_url, params = payload)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_analyze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'time_used': 212,\n",
       " 'request_id': '1647048849,2c8e9a2a-52b8-44aa-ace0-618cbc694ec8',\n",
       " 'faces': [{'attributes': {'emotion': {'sadness': 0.039,\n",
       "     'neutral': 0.001,\n",
       "     'disgust': 0.191,\n",
       "     'anger': 0.001,\n",
       "     'surprise': 0.031,\n",
       "     'fear': 0.001,\n",
       "     'happiness': 99.736},\n",
       "    'beauty': {'female_score': 58.555, 'male_score': 58.212},\n",
       "    'gender': {'value': 'Male'},\n",
       "    'age': {'value': 53},\n",
       "    'mouthstatus': {'close': 0.0,\n",
       "     'surgical_mask_or_respirator': 0.0,\n",
       "     'open': 100.0,\n",
       "     'other_occlusion': 0.0},\n",
       "    'glass': {'value': 'None'},\n",
       "    'skinstatus': {'dark_circle': 1.554,\n",
       "     'stain': 9.17,\n",
       "     'acne': 1.527,\n",
       "     'health': 11.352},\n",
       "    'headpose': {'yaw_angle': 2.7483263,\n",
       "     'pitch_angle': 14.900063,\n",
       "     'roll_angle': 0.5866398},\n",
       "    'blur': {'blurness': {'threshold': 50.0, 'value': 0.376},\n",
       "     'motionblur': {'threshold': 50.0, 'value': 0.376},\n",
       "     'gaussianblur': {'threshold': 50.0, 'value': 0.376}},\n",
       "    'smile': {'threshold': 50.0, 'value': 100.0},\n",
       "    'eyestatus': {'left_eye_status': {'normal_glass_eye_open': 0.005,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.0,\n",
       "      'no_glass_eye_open': 99.995,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0},\n",
       "     'right_eye_status': {'normal_glass_eye_open': 0.003,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.001,\n",
       "      'no_glass_eye_open': 99.996,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0}},\n",
       "    'facequality': {'threshold': 70.1, 'value': 85.357},\n",
       "    'eyegaze': {'right_eye_gaze': {'position_x_coordinate': 0.494,\n",
       "      'vector_z_component': 0.935,\n",
       "      'vector_x_component': -0.068,\n",
       "      'vector_y_component': 0.348,\n",
       "      'position_y_coordinate': 0.438},\n",
       "     'left_eye_gaze': {'position_x_coordinate': 0.502,\n",
       "      'vector_z_component': 0.942,\n",
       "      'vector_x_component': 0.247,\n",
       "      'vector_y_component': 0.227,\n",
       "      'position_y_coordinate': 0.422}}},\n",
       "   'face_rectangle': {'width': 107, 'top': 108, 'left': 141, 'height': 107},\n",
       "   'face_token': 'b1bf9d1b73776d1331c29f7b51523672'}]}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_analyze.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>face_token</th>\n",
       "      <td>b1bf9d1b73776d1331c29f7b51523672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.sadness</th>\n",
       "      <td>0.681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.neutral</th>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.disgust</th>\n",
       "      <td>1.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.anger</th>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.surprise</th>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.fear</th>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.happiness</th>\n",
       "      <td>97.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.beauty.female_score</th>\n",
       "      <td>56.631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.beauty.male_score</th>\n",
       "      <td>56.694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.gender.value</th>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.age.value</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.surgical_mask_or_respirator</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.open</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.other_occlusion</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.glass.value</th>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.dark_circle</th>\n",
       "      <td>1.982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.stain</th>\n",
       "      <td>12.624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.acne</th>\n",
       "      <td>0.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.health</th>\n",
       "      <td>9.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.yaw_angle</th>\n",
       "      <td>0.004189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.pitch_angle</th>\n",
       "      <td>16.763775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.roll_angle</th>\n",
       "      <td>2.305076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.blurness.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.blurness.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.motionblur.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.motionblur.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.gaussianblur.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.gaussianblur.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.value</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.occlusion</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.occlusion</th>\n",
       "      <td>0.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.threshold</th>\n",
       "      <td>70.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.value</th>\n",
       "      <td>85.658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.position_x_coordinate</th>\n",
       "      <td>0.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_z_component</th>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_x_component</th>\n",
       "      <td>-0.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_y_component</th>\n",
       "      <td>0.325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.position_y_coordinate</th>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.position_x_coordinate</th>\n",
       "      <td>0.506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_z_component</th>\n",
       "      <td>0.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_x_component</th>\n",
       "      <td>0.168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_y_component</th>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.position_y_coordinate</th>\n",
       "      <td>0.436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.width</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.top</th>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.left</th>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.height</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                   0\n",
       "face_token                                          b1bf9d1b73776d1331c29f7b51523672\n",
       "attributes.emotion.sadness                                                     0.681\n",
       "attributes.emotion.neutral                                                     0.007\n",
       "attributes.emotion.disgust                                                     1.213\n",
       "attributes.emotion.anger                                                       0.007\n",
       "attributes.emotion.surprise                                                    0.009\n",
       "attributes.emotion.fear                                                        0.112\n",
       "attributes.emotion.happiness                                                   97.97\n",
       "attributes.beauty.female_score                                                56.631\n",
       "attributes.beauty.male_score                                                  56.694\n",
       "attributes.gender.value                                                         Male\n",
       "attributes.age.value                                                              53\n",
       "attributes.mouthstatus.close                                                     0.0\n",
       "attributes.mouthstatus.surgical_mask_or_respirator                               0.0\n",
       "attributes.mouthstatus.open                                                    100.0\n",
       "attributes.mouthstatus.other_occlusion                                           0.0\n",
       "attributes.glass.value                                                          None\n",
       "attributes.skinstatus.dark_circle                                              1.982\n",
       "attributes.skinstatus.stain                                                   12.624\n",
       "attributes.skinstatus.acne                                                     0.634\n",
       "attributes.skinstatus.health                                                   9.525\n",
       "attributes.headpose.yaw_angle                                               0.004189\n",
       "attributes.headpose.pitch_angle                                            16.763775\n",
       "attributes.headpose.roll_angle                                              2.305076\n",
       "attributes.blur.blurness.threshold                                              50.0\n",
       "attributes.blur.blurness.value                                                 0.364\n",
       "attributes.blur.motionblur.threshold                                            50.0\n",
       "attributes.blur.motionblur.value                                               0.364\n",
       "attributes.blur.gaussianblur.threshold                                          50.0\n",
       "attributes.blur.gaussianblur.value                                             0.364\n",
       "attributes.smile.threshold                                                      50.0\n",
       "attributes.smile.value                                                         100.0\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                             0.002\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                               0.0\n",
       "attributes.eyestatus.left_eye_status.occlusion                                   0.0\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                            99.998\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                               0.0\n",
       "attributes.eyestatus.left_eye_status.dark_glasses                                0.0\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                             0.031\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                               0.0\n",
       "attributes.eyestatus.right_eye_status.occlusion                                0.008\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                            99.961\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                               0.0\n",
       "attributes.eyestatus.right_eye_status.dark_glasses                               0.0\n",
       "attributes.facequality.threshold                                                70.1\n",
       "attributes.facequality.value                                                  85.658\n",
       "attributes.eyegaze.right_eye_gaze.position_x_co...                             0.468\n",
       "attributes.eyegaze.right_eye_gaze.vector_z_comp...                             0.944\n",
       "attributes.eyegaze.right_eye_gaze.vector_x_comp...                            -0.054\n",
       "attributes.eyegaze.right_eye_gaze.vector_y_comp...                             0.325\n",
       "attributes.eyegaze.right_eye_gaze.position_y_co...                             0.443\n",
       "attributes.eyegaze.left_eye_gaze.position_x_coo...                             0.506\n",
       "attributes.eyegaze.left_eye_gaze.vector_z_compo...                             0.948\n",
       "attributes.eyegaze.left_eye_gaze.vector_x_compo...                             0.168\n",
       "attributes.eyegaze.left_eye_gaze.vector_y_compo...                             0.269\n",
       "attributes.eyegaze.left_eye_gaze.position_y_coo...                             0.436\n",
       "face_rectangle.width                                                             107\n",
       "face_rectangle.top                                                               108\n",
       "face_rectangle.left                                                              141\n",
       "face_rectangle.height                                                            107"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.json_normalize(r_analyze.json()['faces']).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 人脸对比"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*  上述人脸检测需要不断的重复利用，我们尝试将其封装成函数使用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=P size=450x450 at 0x2BCCB8A40A0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 打开本地图片\n",
    "from PIL import Image\n",
    "Image.open('yyqx.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备工作\n",
    "import requests\n",
    "API_key = 'jRpCaZ34kqNYJ8Zppdc-yGGum_YkETov'\n",
    "API_sercret = 'Vr0PtRCw-ZFwYXTKVfi6aDNaSqlfunK3'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def face_detect(API_key,API_sercret,image_path):\n",
    "    \"\"\"该函数为调用face++ face_detect接口\"\"\"\n",
    "    base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "    files = {'image_file': ('Liu_01.jpeg', open('Liu_01.jpeg', 'rb'), 'multipart/form-data')}\n",
    "    payload = {\n",
    "            'api_key':API_key,\n",
    "            'api_secret':API_sercret\n",
    "            }\n",
    "    \n",
    "\n",
    "    r = requests.post(base_url, params = payload,files = files )\n",
    "    return r.json()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1647161289,20debd3f-796b-420c-9398-bf8b2ad183c4',\n",
       " 'time_used': 88,\n",
       " 'faces': [{'face_token': 'a7185d5e00c3a4fb727f6fefe515d79b',\n",
       "   'face_rectangle': {'top': 98, 'left': 164, 'width': 118, 'height': 118}}],\n",
       " 'image_id': 'fwD9nHfTb9s3JIGwQOQmSA==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 测试\n",
    "face_detect(API_key,API_sercret,'yyqx.jpeg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 准备人脸元数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1647161359,3b85f2c1-b40e-47a7-9774-d041dd8b44bf',\n",
       " 'time_used': 93,\n",
       " 'faces': [{'face_token': 'c9399d0f7dadbca3004657c62b79089e',\n",
       "   'face_rectangle': {'top': 98, 'left': 164, 'width': 118, 'height': 118}}],\n",
       " 'image_id': 'fwD9nHfTb9s3JIGwQOQmSA==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_detect(API_key,API_sercret,'yyqx.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "Liu_meta_data = face_detect(API_key,API_sercret,'yyqx.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'4606ff0c8cf5c64e919a5d63169dce46'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Liu_meta_data_face_token = Liu_meta_data['faces'][0]['face_token']\n",
    "Liu_meta_data_face_token"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 给出人脸图片进行相似度查询"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1647161530,e97089a5-7745-46ad-9ded-330a8ac84ca2',\n",
       " 'time_used': 202,\n",
       " 'faces': [{'face_token': '0bce562b72d4fc622dca4864ff8f29bb',\n",
       "   'face_rectangle': {'top': 98, 'left': 164, 'width': 118, 'height': 118}}],\n",
       " 'image_id': 'fwD9nHfTb9s3JIGwQOQmSA==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 准备测试人脸图片 face2\n",
    "\n",
    "face_detect(API_key,API_sercret,'qx.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b218db3ff2a38cc01f58bf30f3f5cc09'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face02_token = face_detect(API_key,API_sercret,'qx.jpeg')['faces'][0]['face_token']\n",
    "face02_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. 人脸对比\n",
    "\n",
    "compare_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare'\n",
    "\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_sercret,\n",
    "    'face_token1':Liu_meta_data_face_token,\n",
    "    'face_token2':face02_token\n",
    "}\n",
    "r = requests.post(compare_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1647161725,5b4b05eb-99d1-48da-951c-62f9a6ff5520',\n",
       " 'time_used': 289,\n",
       " 'confidence': 97.084,\n",
       " 'thresholds': {'1e-3': 62.327, '1e-4': 69.101, '1e-5': 73.975}}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 人脸检测函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#　思考：能否将一些功能作函数的封装，实现更加便捷的API调用\n",
    "def face_detect(API_key,API_secret,image_url,landmark=None,attributes=None,face_rectangle=None,beauty_score_min=0,beauty_score_max=100):\n",
    "    \"\"\"face++ 人脸检测接口函数(图片链接)\"\"\"\n",
    "    url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "    payload={\n",
    "        'api_key':API_key,\n",
    "        'api_secret':API_secret,\n",
    "        'image_url':image_url,\n",
    "        'return_landmark':landmark,\n",
    "        'return_attributes':attributes,\n",
    "        'face_rectangle':face_rectangle,\n",
    "        'beauty_score_min':beauty_score_min,\n",
    "        'beauty_score_max':beauty_score_max   \n",
    "    }\n",
    "    r = requests.post(url,payload)\n",
    "    return r.json()\n"
   ]
  }
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